Biodiversity researchers in different institutions deal with predictive models for species distribution. These models are useful for biodiversity conservation policies. Species distribution modelling tools need large datasets from different sources and use many algorithms. To improve biodiversity science, scientists need to share models, data and results, and should be able to reproduce experim...

In this paper, we introduce and analyse a Computer-Aided Industrial Design (CAID) process. For each step performed in the shape modelling process, durations, involved entities, concerned parameters and constraints, initial and final states of the shapes were recorded. The modelling session consisted of three main phases and lasted 2710 seconds. The results show that transformation tools are mor...

background a model of quality management called strategic collaborative quality management (scqm) model was developed based on the quality management literature review, the findings of a survey on quality management assessment in healthcare organisations, semi-structured interviews with healthcare stakeholders, and a delphi study on healthcare quality management experts. the purpose of this stu...

As adversarial environments become more complex, it is increasingly crucial for agents to exploit the mistakes of weaker opponents, particularly in the context of winning tournaments and competitions. In this work, we present a simple post processing technique, which we call Perfect Information Post-Mortem Analysis (PIPMA), that can quickly assess the playing strength of an opponent in certain ...

The field of Enterprise Modeling (EM) consists of many methods and method development is one of the key activity areas of EM practitioners and researchers. This paper ponders on future improvements for one EM method, namely Enterprise Knowledge Development (EKD). A number of improvements to the EKD method are identified and discussed, based on empirical observations. The improvements fall into ...

The assumption of independent increments is a dominant characteristic within many stochastic modeling applications. However, in certain situations, empirical data suggest the existence of more complex dependence structures. Such is the case of stock return

During enterprise knowledge development in any organisation, developers and stakeholders are faced with situations that require them to make decisions in order to reach their intentions. To help the decision making process, guidance is required. Enterprise Knowledge Development (EKD) is a method offering a guided knowledge development process. The guidance provided by the EKD method is based on...

Well, someone can decide by themselves what they want to do and need to do but sometimes, that kind of person will need some analytical and stochastic modeling techniques and applications 16th international conference asmta references. People with open minded will always try to seek for the new things and information from many sources. On the contrary, people with closed mind will always think ...

This paper presents a 5-axis side milling scheme for freeform surfaces based on automatic piecewise ruled surface approximation. With this scheme, resulting surface nish is accurate and pleasing, and has a smaller scallop height compared to ball-end milling. The ruled surface approximation can be made arbitrarily precise resulting in an overall fast milling operation that satis es tight toleran...

We describe a detailed depth-and time-dependent model of the molecular cloud associated with the ultracompact H ii region G34.3+0.15. Previous work on observations of NH 3 and CS indicates that the molecular cloud has three distinct physical components:-an ul-tracompact hot core, a compact hot core and an extended halo. We have used the physical parameters derived from these observations as inp...